cm011 - April 30, 2017

Overview

  • Review the major goals of statistical learning
  • Explain the difference between parametric and non-parametric methods
  • Introduce linear models and ordinary least squares regression
  • Demonstrate how to estimate a linear model in R using lm()
  • Demonstrate how to extract model statistics using broom and modelr
  • Practice estimating and interpreting linear models
  • Demonstrate the use of logistic regression for classification
  • Identify methods for assessing classification model accuracy

Before class

What you need to do

This work is licensed under the CC BY-NC 4.0 Creative Commons License.